
Porter
Internal developer platform that deploys and scales apps on your own AWS, GCP, or Azure account.
What is Porter?
Porter is a Platform-as-a-Service that abstracts away Kubernetes and cloud infrastructure complexity, letting teams run and scale applications directly inside their own AWS, GCP, or Azure account. It connects to a Git repository for one-click deployment and handles cluster provisioning, networking, load balancing, autoscaling, monitoring, and logging behind the scenes.
SpecificationsAI-estimated
Key Features of Porter
Use Cases for Porter
Migrating off Heroku/Render
Teams moving from simpler PaaS platforms adopt Porter for more control and lower cost at scale.
AI/ML infrastructure
AI startups deploy GPU-backed training and inference workloads without managing Kubernetes directly.
Startup infrastructure scaling
Fast-growing startups use Porter to scale apps on their own cloud account as usage grows.
Regulated workloads
Companies needing SOC 2 or HIPAA compliance deploy through Porter's certified infrastructure.
Pros & Cons of Porter
Pros
- Runs inside the customer's own cloud account for full control and no vendor lock-in on infrastructure
- Removes the need for a dedicated in-house Kubernetes/DevOps team
- Cost-optimized via automatic bin-packing and usage-based pricing
- Supports GPU workloads for AI/ML teams
Cons
- Pricing excludes the underlying cloud provider bill, so total cost requires two calculations
- Requires connecting a real cloud account, adding setup overhead versus fully-hosted PaaS options
- Enterprise features like SSO and on-prem installs are gated behind custom pricing
Frequently Asked Questions
Does Porter host my app on its own servers?
No, Porter deploys and manages apps inside your own AWS, GCP, or Azure account.
How is Porter priced?
Standard usage is metered at $6/month per GB RAM and $13/month per vCPU, on top of your cloud provider's own charges.
Do I need Kubernetes expertise to use Porter?
No, Porter is designed to abstract away Kubernetes complexity so teams can deploy without deep cluster expertise.
Does Porter support GPU workloads?
Yes, it supports deploying GPU instances for machine learning training and inference.
Pricing Overview
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